Data & Databases
Redis & Caching Strategy
Caching and in-memory data architecture that cuts latency and database load without introducing stale-data bugs.
Overview
Caching done wrong creates more incidents than it prevents. We design caching layers with clear invalidation strategy, appropriate TTLs, and cache-aside or write-through patterns matched to your consistency requirements.
Beyond simple caching, we use Redis for rate limiting, session storage, leaderboards, pub/sub messaging, and distributed locking across microservices.
Key Benefits
- Cache invalidation strategy designed to avoid stale data
- Reduced database load and dramatically lower read latency
- Distributed locking and rate limiting patterns
- High-availability Redis clustering for critical paths
Our Process
- 1Latency and load bottleneck analysis
- 2Caching strategy and invalidation design
- 3Implementation with cache-hit monitoring
- 4High-availability and failover configuration
Technologies Used
RedisRedis ClusterRedis SentinelRedisJSONAWS ElastiCache
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